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Quantification of Cytoskeletal Protein Localization from High-Content Images

  • Shiwen Zhu
  • Paul Matsudaira
  • Roy Welsch
  • Jagath C. Rajapakse
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6282)

Abstract

Cytoskeletal proteins function as dynamic and complex components in many aspects of cell physiology and the maintenance of cell structure. However, very little is known about the coordinated system of these proteins. The knowledge of subcellular localization of proteins is crucial for understanding how proteins function within a cell. We present a framework for quantification of cytoskeletal protein localization from high-content microscopic images. Analyses of high content images of cells transfected by cytoskeleton genes involve individual cell segmentation, intensity transformation of subcellular compartments, protein segmentation based on correlation coefficients, and colocalization quantification of proteins in subcellular components. By quantifying the abundance of proteins in different compartments, we generate colocalization profiles that give insights into the functions of different cytoskeletal proteins.

Keywords

Colocalization cytoskeletal proteins subcellular localization cytoskeleton 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Shiwen Zhu
    • 1
  • Paul Matsudaira
    • 1
    • 2
  • Roy Welsch
    • 1
    • 4
  • Jagath C. Rajapakse
    • 1
    • 3
    • 5
  1. 1.Computation and System Biology, Singapore-MIT AllianceNanyang Technological UniversitySingapore
  2. 2.Department of Biology ScienceNational University of SingaporeSingapore
  3. 3.School of Computer EngineeringNanyang Technological UniversitySingapore
  4. 4.Sloan School of ManagementMassachusetts Institute of TechnologyCambridgeUSA
  5. 5.Department of Biological EngineeringMassachusetts Institute of TechnologyCambridgeUSA

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